Theory: 50 %

Practice: 50 %

Recommended semester: 4

Study mode: full-time

Prerequisites: Databases

Evaluation type: term mark

Course category: compulsory

Language: english

Responsible instructor: Prof. Dr. Fábián Csaba István

Responsible department: Department of Information Technologies

Instructor(s): Prof. Dr. Fábián Csaba István

Course objectives:
Students get acquainted with the purpose, functions and structure of ERP systems. They acquire basic skills in resource planning.

Course content - lectures:

1. The role of information in the operation of an enterprise. The purpose of ERP systems. Typical modules. 2. Overview of main ERP systems. ERP History. 3. Implementation decisions. Costs, benefits and risks. Company views. 4. Detailed discussion of the Marketing module. 5. Detailed discussion of the Production module. 6. Detailed discussion of the Accounting module. 7. Detailed discussion of the Human resources module. 8. Supply chains and means of supporting SC operations. 9. Business Functions and Processes. Tools for process and data modeling. 10. Online Transaction Processing (OLTP) vs. Online Analytical Processing (OLAP). 11. Workflow systems 12-13. Tests

Course content - labs:

Labs follow the material of lectures.

Acquired competences:
Knowledge:

- Knowledge of the principles and methods of natural sciences (mathematics, physics, other natural sciences) relevant to the field of IT.

Skills:

- He/she uses the principles and methods of natural sciences (mathematics, physics, other natural sciences) relevant to the field of information technology in his/her engineering work for the design of information systems. - He/she is able to develop enterprise information systems and implement previous developments. He/she can apply his/her knowledge acquired during his/her study to acquire deeper knowledge in the field of information engineering and to process special literature and solve problems related to information technology. - He/she cooperates with other computer science engineers, electrical engineers during team work, and with other experts during the analysis and solution of a problems.

Attitude:

- He/she is open to get to know other fields which employ information technology tools, and open to work out information technology soultions in cooperation with the experts of other areas.

Autonomy and responsibilities:

- He/she reveals the weaknesses of the technologies applied, risks of processes and initiates measures which reduce them.

Additional professional competences:

- Efficient use of digital technology, knowledge of digital solutions to fulfill educational objectives

Requirements, evaluation, grading:
Mid-term study requirements:
Active participation at lecture and laboratory classes. Students are expected to complete assignments and prepare presentations. 60 points can be obtained by completing assignments, and 30 points by a presentation. Students write an exam on the material of the lectures (10 points). Term mark is computed from the total points obtained.
Exam requirements:

Study aids, laboratory background:

Lecture slides, assignment descriptions, proposed topics for presentations will be available in Teams. At the lab sessions, all students can use separate, modern computer with internet access and the necessary software.

Compulsory readings:

K.C. Laudon, J.P. Laudon: Management Information Systems: Managing the Digital Firm. 17th edition. Pearson, 2021. ISBN-13: 9780136971276. E.F. Monk, B.J. Wagner: Concepts in Enterprise Resource Planning. Cengage Learning, 2013. ISBN-13: 978-1-111-82039-8.

Recommended readings:

B.W. Wirtz: Digital Business Models. In the ’Progress in Information Systems’ series. Springer Nature Switzerland AG, 2019. ISBN 978-3-030-13004-6